Evidence map›Paper›PMID 30623009›Full record

ArticleSSM - population health2019

Racial and ethnic differences in end-of-life care in the United States: Evidence from the Health and Retirement Study (HRS).

Martina Orlovic, Katharine Smith, Elias Mossialos

Abstract read
In one paragraph

Article in SSM - population health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Who really decides? Feeding decisions 'made' by caregivers of children with cerebral palsy.The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Martina OrlovicDepartment of Surgery and Cancer, Faculty of Medicine, Institute of Global Health Innovation, 10th Floor, QEQM Wing, St Mary's Hospital, South Wharf Road, London W2 1NY, United Kingdom.
Katharine SmithCentre for Health Policy, Institute of Global Health Innovation, Imperial College London, 10th Floor, QEQM Wing, St Mary's Hospital, South Wharf Road, London W2 1NY, United Kingdom.
Elias MossialosDepartment of Surgery and Cancer, Faculty of Medicine, Institute of Global Health Innovation, 10th Floor, QEQM Wing, St Mary's Hospital, South Wharf Road, London W2 1NY, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population ageing poses considerable challenges to the provision of quality end-of-life care. The population of the United States is increasingly diverse, making it imperative to design culturally sensitive end-of-life care interventions. We examined participants of the Health and Retirement Study, who died between 2002 and 2014, to examine racial and ethnic differences in end-of-life care utilization and end-of-life planning in the United States. Our study reveals significant disparities in end-of-life care and planning among studied groups. Findings reveal that racial and ethnic minorities are more likely to die in hospital and less likely to engage in end-of-life planning activities. The observed disparities are still significant but have been narrowing between 2002 and 2014. Efforts to reduce these differences should target both medical professionals and diverse communities to ensure that improved models of care acknowledge heterogeneous values and needs of a culturally diverse US population.

Indexed as

Advance care planningEnd-of-lifeHealth and Retirement StudyLiving will

Identifiers

PMID30623009
PMCPMC6305800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.